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DBMS > Alibaba Cloud Table Store vs. Badger vs. eXtremeDB vs. FatDB vs. Qdrant

System Properties Comparison Alibaba Cloud Table Store vs. Badger vs. eXtremeDB vs. FatDB vs. Qdrant

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonBadger  Xexclude from comparisoneXtremeDB  Xexclude from comparisonFatDB  Xexclude from comparisonQdrant  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Natively in-memory DBMS with options for persistency, high-availability and clusteringA .NET NoSQL DBMS that can integrate with and extend SQL Server.A high-performance vector database with neural network or semantic-based matching
Primary database modelWide column storeKey-value storeRelational DBMS
Time Series DBMS
Document store
Key-value store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitewww.alibabacloud.com/­product/­table-storegithub.com/­dgraph-io/­badgerwww.mcobject.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoregodoc.org/­github.com/­dgraph-io/­badgerwww.mcobject.com/­docs/­extremedb.htmqdrant.tech/­documentation
DeveloperAlibabaDGraph LabsMcObjectFatCloudQdrant
Initial release20162017200120122021
Current release8.2, 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C#Rust
Server operating systemshostedBSD
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
WindowsDocker
Linux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesNumbers, Strings, Geo, Boolean
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono infosupport of XML interfaces availableno
Secondary indexesnonoyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLnonoyes infowith the option: eXtremeSQLno infoVia inetgration in SQL Serverno
APIs and other access methodsHTTP API.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesJava
Python
Go.Net
C
C#
C++
Java
Lua
Python
Scala
C#.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresnonoyesyes infovia applications
Triggersnonoyes infoby defining eventsyes infovia applications
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonehorizontal partitioning / shardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
selectable replication factorCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency, tunable consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensnono infoCan implement custom security layer via applicationsKey-based authentication
More information provided by the system vendor
Alibaba Cloud Table StoreBadgereXtremeDBFatDBQdrant
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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More resources
Alibaba Cloud Table StoreBadgereXtremeDBFatDBQdrant
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